Principle of Kappa-MN

Unique & innovative dimensioning tools and services. We carry out capacity stochastic modeling of all mobile Middle Network elements : BSC and RNC as well as for interfaces Abis, A, Gb, Iub, Iu-cs, Iu-ps, X2 and S1. Using proprietary algorithms, Kappa offers an innovative capacity dimensioning tool. We specialize in modelling the capacity of all telecom elements. We also predict voice, data and signalling traffic.

We calculate and plan the utilization of mobile networks to maximize any company investments. We can audit an existing architecture, as well as planned investments and confirm their efficiency levels. Our proprietary tool automates complex calculations withdrawing or adding capacity, link by link, board by board. With Kappa suite, we model the traffic propagation effects throughout your entire network. With Kappa, you will now know where and how much to invest, and on which date, with an unprecedented accuracy. We cover all the technologies 2G, 3G and 4G for the most deployed vendors Huawei, NSN, Ericsson, ZTE, Allu, Juniper and Cisco

Principle of Kappa-MN

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Key Features

  • Evaluate traffic growth impact on network capacity and performance
  • Suppress over-dimensioning of elements by efficient capacity planning
  • Enhance network performances including GoS and QoS through optimal investments
  • Optimize resource utilization
  • Simulate various GoS and QoS and calculate the needed capacity expansion
  • Simulate impacts of new technology introduction (3G or 4G), new feature, new marketing offers


  • Optimize optical networks management
  • Automate the planning process
  • Reduce CAPEX and OPEX through optimal network design and resource allocation
  • Give precise and useful technical outputs for installation works
  • Alleviate the work ordering process
  • Provide detailed network inventory
  • Enhance Staff productivity
We offer solutions to the following challenges:
  • Low returns from CapEx investment
  • Network saturation
  • Poor user throughputs
  • Identify unnecessary over dimensioning
  • Very high end to end upgrade costs
  • How to capture incremental revenue by increasing network capacity
  • Resolving imbalance of traffic distributions between    layers and technologies
  • Improving data performance (increase throughput)
  • Impact analysis of network capacity, driven by new marketing offers.

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